A collection of research projects and engineering work spanning machine learning, NLP, data analytics, and web development.
ML Income Predictor
A production-ready Machine Learning pipeline and web application for demographic income classification. It features an object-oriented training pipeline, REST APIs, and dynamic feature explainability.
A Node.js-based CLI tool that captures and persists structured AI coding context-reasoning, decisions, and task state-alongside Git branches. It enables seamless continuation of AI-assisted development across sessions, IDEs, and devices without re-explaining project architecture or progress.
An end-to-end machine learning pipeline for predicting housing prices, built with ZenML for orchestration and MLflow for experiment tracking and model management.
An end-to-end machine learning project to predict silver prices for the Indian market, served through a Flask-based REST API.
A FastAPI-based Retrieval-Augmented Generation API using Ollama's TinyLlama and ChromaDB for generating contextual responses to user queries.
A dynamic pricing system for an online retailer using predictions served by a multi-layered Feedforward Neural Network, a LightGBM regressor, and an Elastic Net, hosted on a containerized serverless architecture.
A real-time computer vision application that matches facial expressions and hand gestures to iconic internet memes using MediaPipe's AI-powered face and hand detection.
Supervised Fine-Tuning (SFT) of Google's Gemma 3 270M model for a specific task: extracting food and drink items from text. The fine-tuned model processes text inputs and returns structured data about food/drink content.
Scrutinizing ML Models for Cancer Prediction
Built and evaluated machine learning models using patient records to predict lung cancer outcomes. Published findings in an academic journal.
A machine learning model to predict outcomes of Premier League matches using historical data and statistical features.
Identifying Hot Topic Trends In Streaming Text Data
An NLP model to detect and visualize trending topics from real-time text streams using a sequential processing approach.
Statistical analysis of La Liga's greatest forwards with visualizations including bar charts and radar diagrams.
A browser-based Life RPG that gamifies daily habits with quests, XP, levels, streaks, and achievements.
A responsive weather forecasting web application using OpenWeather API with a PHP backend for data processing.
An IoT-enabled Arduino system that controls street lights using IR and LDR sensors with real-time logic for energy-efficient highway illumination.
15
Total Projects
9
ML/NLP Projects
54
Technologies Used
9
Featured
ML Income Predictor
A production-ready Machine Learning pipeline and web application for demographic income classification. It features an object-oriented training pipeline, REST APIs, and dynamic feature explainability.
A Node.js-based CLI tool that captures and persists structured AI coding context-reasoning, decisions, and task state-alongside Git branches. It enables seamless continuation of AI-assisted development across sessions, IDEs, and devices without re-explaining project architecture or progress.
An end-to-end machine learning pipeline for predicting housing prices, built with ZenML for orchestration and MLflow for experiment tracking and model management.
An end-to-end machine learning project to predict silver prices for the Indian market, served through a Flask-based REST API.
A FastAPI-based Retrieval-Augmented Generation API using Ollama's TinyLlama and ChromaDB for generating contextual responses to user queries.
A dynamic pricing system for an online retailer using predictions served by a multi-layered Feedforward Neural Network, a LightGBM regressor, and an Elastic Net, hosted on a containerized serverless architecture.
A real-time computer vision application that matches facial expressions and hand gestures to iconic internet memes using MediaPipe's AI-powered face and hand detection.
Supervised Fine-Tuning (SFT) of Google's Gemma 3 270M model for a specific task: extracting food and drink items from text. The fine-tuned model processes text inputs and returns structured data about food/drink content.
Scrutinizing ML Models for Cancer Prediction
Built and evaluated machine learning models using patient records to predict lung cancer outcomes. Published findings in an academic journal.
A machine learning model to predict outcomes of Premier League matches using historical data and statistical features.
Identifying Hot Topic Trends In Streaming Text Data
An NLP model to detect and visualize trending topics from real-time text streams using a sequential processing approach.
Statistical analysis of La Liga's greatest forwards with visualizations including bar charts and radar diagrams.
A browser-based Life RPG that gamifies daily habits with quests, XP, levels, streaks, and achievements.
A responsive weather forecasting web application using OpenWeather API with a PHP backend for data processing.
An IoT-enabled Arduino system that controls street lights using IR and LDR sensors with real-time logic for energy-efficient highway illumination.